Deep Learning Based Indian Sign Language Words Identification System

In Indian Population there is about 1 percent of the people are deaf and dumb. Deaf dumb use gestures to interact with each other. Ordinary humans fail grasp significance gestures, which makes interaction between mute hard. attempt for ordinary citizens understand signs, an automated sign language identification system proposed. A smart wearable hand device designed by attaching different sensors gloves perform gestures. Each gesture has unique sensor values those collected as excel data. The characteristics movements extracted categorized aid a convolutional neural network (CNN). data from test set identified CNN according classification. objective this bridge gap who or hard hearing rest society.